scholarly journals Novo método de cálculo das frações de verde para controle semafórico em tempo real

TRANSPORTES ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 87
Author(s):  
Werner Kraus Junior ◽  
José Dolores Vergara Dietrich ◽  
Felipe Augusto De Souza ◽  
Eduardo Camponogara
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Original Method ◽  
New Method ◽  
Superior Performance ◽  
Control Parameters ◽  
Real Time Traffic ◽  
Simulation Results

<p><strong>Resumo:</strong> Apresenta-se um método de cálculo de frações de verde a ser usado em sistemas de controle de tráfego em tempo real por amostragem cíclica. A base do método origina-se da estratégia TUC, brevemente revisada neste trabalho. O objetivo é substituir um procedimento empírico de ajuste de parâmetros auxiliares do controle por uma metodologia que seja facilmente entendida e utilizável na prática. Resultados de simulação indicam o desempenho superior do método quando comparado com os ajustes empíricos do método original.</p><p><em>Palavras-chave:</em> controle semafório em tempo real; amostragem cíclica; método TUC.</p><p><strong>Abstract:</strong> A new method for the computation of splits for real-time traffic control with cyclic sampling is presented. The method is based on the TUC strategy, which is briefly reviewed in this paper. The goal is to replace an empirical tuning procedure of auxiliary control parameters by a method that is easy to understand and implement. Simulation results indicate the superior performance of the method when compared to the empirical adjustments of the original method.</p><p><em>Keywords:</em> real-time traffic control; cyclic sampling; TUC method.</p>

scholarly journals Context-Aware Intelligent Traffic Light Control through Secure Messaging

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Mükremin Özkul ◽  
Ilir Capuni ◽  
Elton Domnori
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Heavy Traffic ◽  
Waiting Times ◽  
Traffic Information ◽  
Context Aware ◽  
Traffic Flows ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Simulation Results

In this paper, we propose STCM, a context-aware secure traffic control model to manage competing traffic flows at a given intersection by using secure messages with real-time traffic information. The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and location, to a traffic light controller through a secure and computationally lightweight protocol. During the reporting process, a vehicle’s identity and location are kept anonymous to any other vehicle in the system. At an intersection, the traffic light controller receives the messages with traffic information, verifies the identities of the vehicles, and dynamically implements and optimizes the traffic light phases in real-time. Moreover, the system is able to detect the presence of emergency vehicles (such as ambulances and fire fighting trucks) in the communication range and prioritize the intersection crossing of such vehicles to in order to minimize their waiting times. The simulation results demonstrate that the system significantly reduces the waiting time of the vehicles in both light and heavy traffic flows compared to the pretimed signal control and the adaptive Webster’s method. Simulation results also yield effective robustness against impersonating attacks from malicious vehicles.

scholarly journals Mobile Road Traffic Management System Using Weighted Sensor

2017 ◽  
Vol 11 (5) ◽  
pp. 147 ◽  
Author(s):  
Solomon Adegbenro Akinboro ◽  
Johnson A Adeyiga ◽  
Adebayo Omotosho ◽  
Akinwale O Akinwumi
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Urban Areas ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Traffic Management System

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>

scholarly journals Transport modeling: An artificial immune system approach

2006 ◽  
Vol 16 (1) ◽  
pp. 3-30
Author(s):  
Dusan Teodorovic ◽  
Jovan Popovic ◽  
Panta Lucic
Keyword(s):  
Immune System ◽  
Real Time ◽  
Traffic Control ◽  
System Approach ◽  
Artificial Immune System ◽  
Control Strategies ◽  
Transportation Systems ◽  
Artificial Immune ◽  
Real Time Traffic ◽  
Wide Range

This paper describes an artificial immune system approach (AIS) to modeling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The basic idea behind this research is to develop the Artificial Immune System, which generates a set of antibodies (decisions, control actions) that altogether can successfully cover a wide range of potential situations. The proposed artificial immune system develops antibodies (the best control strategies) for different antigens (different traffic "scenarios"). This task is performed using some of the optimization or heuristics techniques. Then a set of antibodies is combined to create Artificial Immune System. The developed Artificial Immune transportation systems are able to generalize, adapt, and learn based on new knowledge and new information. Applications of the systems are considered for airline yield management, the stochastic vehicle routing, and real-time traffic control at the isolated intersection. The preliminary research results are very promising.

scholarly journals The Dynamic Control of the Light Signalling Device in Real-Time

2019 ◽  
Vol 292 ◽  
pp. 03014
Author(s):  
Jan Mrazek ◽  
Lucia Duricova Mrazkova ◽  
Martin Hromada ◽  
Jana Reznickova
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Dynamic Control ◽  
Traffic Density ◽  
Light Signaling ◽  
Dynamic Traffic ◽  
Real Time Control ◽  
Real Time Traffic ◽  
Time Control ◽  
Control Dynamic

The article is focused on the issue of interval on a light signaling device. Light signaling devices operate on different systems by means of which they are controlled. The control problem is a very static setting that does not respond to real-time traffic. Important variables for dynamic real-time control are traffic density in a selected area along with average speed. These variables are interdependent and can be based on dynamic traffic control. Dynamic traffic control ensures smoother traffic through major turns. At the same time, the number of harmful CO2 emitted from the means of transport should be reduced to the air. When used in low operation, power consumption should be reduced.

Intelligent Traffic Control at Intersection Based upon Real-Time Vehicle Detection

2013 ◽  
Vol 313-314 ◽  
pp. 343-346
Author(s):  
Guo Zhong Yao
Keyword(s):  
Information Transmission ◽  
Real Time ◽  
Traffic Control ◽  
New Method ◽  
System Operation ◽  
Traffic Condition ◽  
Traffic Lights ◽  
Ism Band ◽  
Pass Through ◽  
Real Traffic

A new method of traffic control based upon real-time number of the vehicles at the intersection was pulled forward. Serial vehicle detectors were used to detect the number of the vehicle waiting to pass through the intersection. One or more control boxes were used to control the traffic lights according to real traffic condition and transreceived data between itself and the detectors. The information transmission between the detectors and the controllers is based upon 2.4G ISM band. Arithmetic on the system operation, which took the pedestrians and the situation of excessive vehicles into account, is introduced.

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